National Park Service investigators are seeking information on two separate incidents of possible child abuse in Grand Canyon National Park, both involving the same family. https://www.nps.gov/grca/learn/news/2011-09-02_carlson.htm

Rangers are trying to locate Yoshikazu Yamada who was last seen waiting to get on a tour bus on October 6. https://www.nps.gov/grca/learn/news/2012-10-10_missing-yamada.htm

On June 23rd, 2013, Grand Canyon National Park will host “President Theodore Roosevelt Salutes the National Park Service.” This special program is a living history portrayal of the 26th President of the United States as performed by Joe Wiegand at 8:30pm, Sunday, June 23rd, 2013 at McKee Amphitheater located on the South Rim behind Park Headquarters near Parking Lot A. https://www.nps.gov/grca/learn/news/grand-canyon-national-park-presents-living-history-performance-of-president-theodore-roosevelt.htm

A dropdown menu using top level png images with the submenu used for image information.

A CSS only answer to javascript/jQuery pull-down information panels (version 2).

Using CSS3 to produce a set of sliding information panels for photo links.

Using CSS3 and the latest discoveries and techniques to have a click action image information panels.

A show/hide information panels using click to open and close.

Using my latest techniques to produce and improved show/hide extra information.

A set of information panels that work on touch screen devices such as iPads, IE10 tablets and Android OS tablets.

A set of rotating panels using just CSS3.

A method of displaying team photos and information panels.

Introduction In the context of the humanities, the last twenty... more

This research is a preliminary step for an upcoming project.... more

The project is a collaboration between DensityDesign Lab and ISI... more

The idea of the organization and companies as phenomena to... more

Cost of private timber management practices in the United States are identified, and their relationship to timber production in general is highlighted. Costs across timber-producing regions and forest types are identified by forest type and timber management practices historically applied in each region. This includes cost estimates for activities such as forest establishment practices such as reforestation and afforestation on crop and pastureland. Establishment costs for reforestation in the Southern United States are less than in other regions, although regional differences in establishment costs are less evident in hardwood than in softwood stands. Also, included in the list of timber management costs ate the intermediate management treatments of precommercial thinning, herbicide, and fertilizer application. Intermediate management treatments are less costly in the southern United States than in other regions. Trends in timber management costs reported as part of the management costs reporting.

The Community Socioeconomic Information System (CSIS) is a tool that allows users to retrieve 1990 and 2000 U.S. census data to examine conditions and trends for communities in western Washington, western Oregon, and northern California. The tool includes socioeconomic data for 1,314 communities in the entire region, including incorporated and unincorporated places. The tool delivers socioeconomic data using mapping and database features. In addition to providing data for one community, the tool produces community-level data at a variety of scales, including communities in areas surrounding Forest Service and Bureau of Land Management lands, all communities in the Northwest Forest Plan (NWFP) region, and communities within planning provinces within the NWFP region. One feature allows users to customize community data by creating boundaries and socioeconomic data for group of selected communities. The CSIS tool was designated to increase the usefulness of socioeconomic information at the small scale. Typically community socioeconomic assessments use U.S. census designations called census places. However, census places only represent a portion of the rural population. The CSIS uses a smaller unit of analysis (block groups) that we have aggregated to represent contiguous communities across the landscape, thereby representing the entire population. Community data can be printed as reports with graphs and tables, queried within an Access database, mapped and queried as geographic information system (GIS) data within ArcExplorer (a free GIS software included), exported as a table for use in Excel, or exported as GIS data for use in ArcGIS. The tool has features that allow users to locate communities by county or state and become familiar with local geography. The CSIS includes GIS data, such as major land ownerships, political boundaries, and physical landscape features. Applications produce maps that can be printed for specific communities showing community boundaries, water features, roads, metropolitan areas, community population centers, public land ownership, census places, planning provinces, counties, and state boundaries. Or, using the spatial data provided on the CD and ArcExplorer, users can produce custom maps.

The Community Socioeconomic Information System (CSIS) is a tool that allows users to retrieve 1990 and 2000 U.S. census data to examine conditions and trends for communities in western Washington, western Oregon, and northern California. The tool includes socioeconomic data for 1,314 communities in the entire region, including incorporated and unincorporated places.

Cost of private timber management practices in the United States are identified, and their relationship to timber production in general is highlighted. Costs across timber-producing regions and forest types are identified by forest type and timber management practices historically applied in each region. This includes cost estimates for activities such as forest establishment practices such as reforestation and afforestation on crop and pastureland. Establishment costs for reforestation in the Southern United States are less than in other regions, although regional differences in establishment costs are less evident in hardwood than in softwood stands. Also, included in the list of timber management costs ate the intermediate management treatments of precommercial thinning, herbicide, and fertilizer application. Intermediate management treatments are less costly in the southern United States than in other regions. Trends in timber management costs reported as part of the management costs reporting.

The importance to society of environmental services, provided by forest ecosystems, has significantly increased during the last few decades. A growing global concern with the deterioration of forests, beginning perhaps most noticeably in the 1980s, has led to an increasing public awareness of the environmental, cultural, economic, and social values that forests provide. Around the world, ideas of sustainable, close-to-nature, and multi-functional forestry have progressively replaced the older perception of forests as only a source for timber. The international impetus to protect and sustainably manage forests has come from global initiatives at management, conservation, and sustainable development related to all types of forests and forestry. A few of the more notable initiatives include: the 1992 Earth Summit in Rio de Janeiro, Brazil (United Nations Conference on Environment and Development, UNCED); regional follow-ups to the Earth Summit such as the Montreal Process and Helsinki Accords; the forest elements of the Convention on Biological Diversity (CBD); and the Framework Convention on Climate Change (FCCC).

This report synthesizes the literature on the role of informal economic activity in the United States postindustrial economy. Informal economic activity is expanding in the United States and is likely to continue in the foreseeable future. The formal and informal economic sectors are inextricably intertwined, with individuals and households combining elements of both sectors to construct their livelihoods. Although the informal economy is often thought of as the domain of economically marginal individuals and households, virtually everyone participates in the informal economy to some extent. However, the literature highlights how factors such as social status and household position in the formal economy affect whether participation in informal economic activity is exploitative or empowering. The nontimber forest products sector serves as a case study of why it is important to consider informal economic activity when developing natural resource and economic development policy. We recommend steps policymakers can take to identify and encourage positive aspects of the informal economic activity. We also highlight several areas of research to improve understandings of the role of informal economic activity in postindustrial societies.

Four types of tree shelters were evaluated in southwestern Washington for their effects on seedling microenvironment and performance of two tree species. Shelter types were fine-mesh fabric shelters, solid-walled white shelters with and without vent holes, and solid-walled blue unvented shelters. Summer mean and daily maximum air temperatures were increased by 0.8 degrees C and 3.6 degrees C, respectively, in solid-walled tree shelters. Shelter color and shelter venting did not influence air temperatures. Tree shelters only affected vapor pressure deficit late in the growing season. Midday photosynthetically active radiation within shelters ranged from 54 percent of full sun in fine-mesh fabric shelters to 15 percent of full sun in blue solid-walled shelters. In the first year after planting, height and diameter growth of western redcedar (Thuja plicata Donn ex D. Don) were significantly increased by all shelter types, with blue solid-walled shelters resulting in the greatest height growth. However, in blue solid-walled shelters, photosynthesis and stem diameter growth of Oregon white oak (Quercus garryana Dougl. ex Hook.) seedlings were significantly less than for unsheltered seedlings.

Eliot Smith Dance company is live-streaming a powerful production to mark the 75-year anniversary of Victory in Europe day

ALL ACCESS' 10 QUESTIONS WITH has interviews with your favorite format luminaries. What makes 'em tick? Who are their influences? Do they prefer smooth or chunky peanut … more

COMPASS BROADCASTING has moved the News-Talk programming of KGED-A (TALK RADIO 1680)/FRESNO to sister KXEX-A as TALK RADIO 1550 KXEX, replacing that station's Spanish Religion … more

It even involves some serious dance moves at the end

A study to comparatively examine the effects of sports-related concussions (SRC) on athletes in Major League Soccer (MLS) and the English Premier League (EPL) in terms of incidence, return to play (RTP), performance, and career longevity.

Menyampaikan Informasi Permainan Poker Secara Transparan Poker Online Resmi – Pemain wajib memperoleh keberhasilan di permainan di judi online. Pemain akan diberikan pilihan atau seleksi permainan yang banyak dan menarik di judi kasino online. Ada satu hal esensial yang melainkan bertarung di kasino online dan kasino Masyarakat Pemain tidak perlu angkat kaki dari satu kasino […]

The post Input Informasi Permainan Poker Online Resmi appeared first on Themegalaxy.

VOTE411 provides voters with information about the candidates on the ballot in the June 2 primary election. The League of Women Voters created the election-related website as a one-stop location for nonpartisan information for the public.

Each candidate was invited to respond to a set of questions. You can see their responses online at VOTE411.org. If you don’t see responses from every candidate running in your house or senate district, please contact them asking that they participate in VOTE411.

For this primary election, we are asked to vote absentee if possible. Input your address in the VOTE411.org website and get information about how to get your absentee ballot, register to vote, and who will be on your ballot.

The League of Women Voters of Iowa wants you to educate yourself and then vote in the June 2, 2020 Primary Election.

Cathy Eisenhofer

LWV Johnson County

Like most paddlers I have a tendency to shoot pictures in a horizontal (landscape) format. It is more tricky to shoot in a vertical format from my tippy kayaks, especially, when I have to use a paddle to stabilize my camera.

It is a requirement that a visa applicant must fill in or complete his or her application form in a manner that all questions are answered, and no incorrect answers are given or provided. There is also a requirement that visa applicants must not provide incorrect information during interviews with the Minister for Immigration (‘Minister’), […]

The post Visa cancelled due to incorrect information given or provided to the Department of Home Affairs appeared first on Visa Australia - Immigration Lawyers & Registered Migration Agents.

It has been a month since we launched our first online workshop and, to be honest, we really didn’t know whether people would enjoy them — or if we would enjoy running them. It was an experiment, but one we are so glad we jumped into! I spoke about the experience of taking my workshop online on a recent episode of the Smashing podcast. As a speaker, I had expected it to feel very much like I was presenting into the empty air, with no immediate feedback and expressions to work from.

We all use data all the time, but what exactly is data? How do different programs know what to do with our data? How is visualizing data different from other uses of data? And isn’t everything inside a computer data in the end? The latest episode of eagereyesTV looks at what data is and what […]

Communication has been quite a challenge during the COVID-19 pandemic, and data visualization hasn't been the most helpful given the low quality of the data – see Amanda Makulec's plea to think harder about making another coronavirus chart. A great example of how to do things right is the widely-circulated Flatten the Curve information graphic/cartoon. […]

We study an equivariant extension of the Batalin-Vilkovisky formalism for quantizing gauge theories. Namely, we introduce a general framework to encompass failures of the quantum master equation, and we apply it to the natural equivariant extension of AKSZ solutions of the classical master equation (CME). As examples of the construction, we recover the equivariant extension of supersymmetric Yang-Mills in 2d and of Donaldson-Witten theory.

Let $Isubseteq S=K[x_1,ldots,x_n]$ be a homogeneous ideal equipped with a monomial order $<$. We show that if $operatorname{in}_<(I)$ is a square-free monomial ideal, then $S/I$ and $S/operatorname{in}_<(I)$ have the same connectedness dimension. We also show that graphs related to connectedness of these quotient rings have the same number of components. We also provide consequences regarding Lyubeznik numbers. We obtain these results by furthering the study of connectedness modulo a parameter in a local ring.

Given spherically symmetric characteristic initial data for the Einstein-scalar field system with a positive cosmological constant, we provide a criterion, in terms of the dimensionless size and dimensionless renormalized mass content of an annular region of the data, for the formation of a future trapped surface. This corresponds to an extension of Christodoulou's classical criterion by the inclusion of the cosmological term.

In the present paper by the Fourier transform we show that every linear differential equations of $n$-th order has a solution in $L^1(Bbb{R})$ which is infinitely differentiable in $Bbb{R} setminus {0}$. Moreover the Hyers-Ulam stability of such equations on $L^1(Bbb{R})$ is investigated.

We study a two-stage reneging queue with Poisson arrivals, exponential services, and two levels of exponential reneging behaviors, extending the popular Erlang A model that assumes a constant reneging rate. We derive approximate analytical formulas representing performance measures for the two-stage queue following the Markov chain decomposition approach. Our formulas not only give accurate results spanning the heavy-traffic to the light-traffic regimes, but also provide insight into capacity decisions.

We introduce natural deformation classes of generalized K"ahler structures using the Courant symmetry group. We show that these yield natural extensions of the notions of K"ahler class and K"ahler cone to generalized K"ahler geometry. Lastly we show that the generalized K"ahler-Ricci flow preserves this generalized K"ahler cone, and the underlying real Poisson tensor.

We present the correspondence between Lax integrable systems with spectral parameter on a Riemann surface, and Conformal Field Theories, in quite general set-up suggested earlier by the author. This correspondence turns out to give a prequantization of the integrable systems in question.

High-performance implementations of graph algorithms are challenging to implement on new parallel hardware such as GPUs, because of three challenges: (1) difficulty of coming up with graph building blocks, (2) load imbalance on parallel hardware, and (3) graph problems having low arithmetic intensity. To address these challenges, GraphBLAS is an innovative, on-going effort by the graph analytics community to propose building blocks based in sparse linear algebra, which will allow graph algorithms to be expressed in a performant, succinct, composable and portable manner. In this paper, we examine the performance challenges of a linear algebra-based approach to building graph frameworks and describe new design principles for overcoming these bottlenecks. Among the new design principles is exploiting input sparsity, which allows users to write graph algorithms without specifying push and pull direction. Exploiting output sparsity allows users to tell the backend which values of the output in a single vectorized computation they do not want computed. Load-balancing is an important feature for balancing work amongst parallel workers. We describe the important load-balancing features for handling graphs with different characteristics. The design principles described in this paper have been implemented in "GraphBLAST", the first open-source linear algebra-based graph framework on GPU targeting high-performance computing. The results show that on a single GPU, GraphBLAST has on average at least an order of magnitude speedup over previous GraphBLAS implementations SuiteSparse and GBTL, comparable performance to the fastest GPU hardwired primitives and shared-memory graph frameworks Ligra and Gunrock, and better performance than any other GPU graph framework, while offering a simpler and more concise programming model.

Event-related potential (ERP) speller can be utilized in device control and communication for locked-in or severely injured patients. However, problems such as inter-subject performance instability and ERP-illiteracy are still unresolved. Therefore, it is necessary to predict classification performance before performing an ERP speller in order to use it efficiently. In this study, we investigated the correlations with ERP speller performance using a resting-state before an ERP speller. In specific, we used spectral power and functional connectivity according to four brain regions and five frequency bands. As a result, the delta power in the frontal region and functional connectivity in the delta, alpha, gamma bands are significantly correlated with the ERP speller performance. Also, we predicted the ERP speller performance using EEG features in the resting-state. These findings may contribute to investigating the ERP-illiteracy and considering the appropriate alternatives for each user.

In learning-to-rank for information retrieval, a ranking model is automatically learned from the data and then utilized to rank the sets of retrieved documents. Therefore, an ideal ranking model would be a mapping from a document set to a permutation on the set, and should satisfy two critical requirements: (1)~it should have the ability to model cross-document interactions so as to capture local context information in a query; (2)~it should be permutation-invariant, which means that any permutation of the inputted documents would not change the output ranking. Previous studies on learning-to-rank either design uni-variate scoring functions that score each document separately, and thus failed to model the cross-document interactions; or construct multivariate scoring functions that score documents sequentially, which inevitably sacrifice the permutation invariance requirement. In this paper, we propose a neural learning-to-rank model called SetRank which directly learns a permutation-invariant ranking model defined on document sets of any size. SetRank employs a stack of (induced) multi-head self attention blocks as its key component for learning the embeddings for all of the retrieved documents jointly. The self-attention mechanism not only helps SetRank to capture the local context information from cross-document interactions, but also to learn permutation-equivariant representations for the inputted documents, which therefore achieving a permutation-invariant ranking model. Experimental results on three large scale benchmarks showed that the SetRank significantly outperformed the baselines include the traditional learning-to-rank models and state-of-the-art Neural IR models.

A classical problem in appointment scheduling, with applications in health care, concerns the determination of the patients' arrival times that minimize a cost function that is a weighted sum of mean waiting times and mean idle times. One aspect of this problem is the sequencing problem, which focuses on ordering the patients. We assess the performance of the smallest-variance-first (SVF) rule, which sequences patients in order of increasing variance of their service durations. While it was known that SVF is not always optimal, it has been widely observed that it performs well in practice and simulation. We provide a theoretical justification for this observation by proving, in various settings, quantitative worst-case bounds on the ratio between the cost incurred by the SVF rule and the minimum attainable cost. We also show that, in great generality, SVF is asymptotically optimal, i.e., the ratio approaches 1 as the number of patients grows large. While evaluating policies by considering an approximation ratio is a standard approach in many algorithmic settings, our results appear to be the first of this type in the appointment scheduling literature.

This paper proposes a faceted information exploration model that supports coarse-grained and fine-grained focusing of geographic maps by offering a graphical representation of data attributes within interactive widgets. The proposed approach enables (i) a multi-category projection of long-lasting geographic maps, based on the proposal of efficient facets for data exploration in sparse and noisy datasets, and (ii) an interactive representation of the search context based on widgets that support data visualization, faceted exploration, category-based information hiding and transparency of results at the same time. The integration of our model with a semantic representation of geographical knowledge supports the exploration of information retrieved from heterogeneous data sources, such as Public Open Data and OpenStreetMap. We evaluated our model with users in the OnToMap collaborative Web GIS. The experimental results show that, when working on geographic maps populated with multiple data categories, it outperforms simple category-based map projection and traditional faceted search tools, such as checkboxes, in both user performance and experience.

Predicate constraints of general-purpose knowledge bases (KBs) like Wikidata, DBpedia and Freebase are often limited to subproperty, domain and range constraints. In this demo we showcase CounQER, a system that illustrates the alignment of counting predicates, like staffSize, and enumerating predicates, like workInstitution^{-1} . In the demonstration session, attendees can inspect these alignments, and will learn about the importance of these alignments for KB question answering and curation. CounQER is available at https://counqer.mpi-inf.mpg.de/spo.

In this paper, we propose a new nonlinear detector with improved interference suppression in Multi-User Multiple Input, Multiple Output (MU-MIMO) system. The proposed detector is a combination of the following parts: QR decomposition (QRD), low complexity users sorting before QRD, sorting-reduced (SR) K-best method and minimum mean square error (MMSE) pre-processing. Our method outperforms a linear interference rejection combining (IRC, i.e. MMSE naturally) method significantly in both strong interference and additive white noise scenarios with both ideal and real channel estimations. This result has wide application importance for scenarios with strong interference, i.e. when co-located users utilize the internet in stadium, highway, shopping center, etc. Simulation results are presented for the non-line of sight 3D-UMa model of 5G QuaDRiGa 2.0 channel for 16 highly correlated single-antenna users with QAM16 modulation in 64 antennas of Massive MIMO system. The performance was compared with MMSE and other detection approaches.